Bandwidth Based Design Methodology for Wiener Filters for Online Signal Denoising

Markus Neumayer*, Thomas Bretterklieber

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online signal denoising refers to a digital filtering techniques in order to estimate a signal s[n] from the noisy signal x[n] = s[n] + v[n], where v[n] is noise. Standard filtering techniques lead to a time delay of the signal estimate ŝ[n], which is caused by the group delay of the filter. Wiener filtering is one possible way to reduce this delay. The design of a Wiener filter requires a statistical model of the signal s[n] and the measurement noise v[n]. The noise model can be determined by means of signal analysis of the measurement noise v[n]. The modeling of the signal s[n] on the other hand requires more dedicated analysis. This makes the application of this filter less practicable. In this paper a design methodology for Wiener filters is presented. The modeling of the signal is done by means of the signal bandwidth, hence the design effort is equal to the design of a standard digital filter. Also the same design tools, e.g. a filter design methods, can be used. The performance of the approach is presented by means of simulation studies and a measurement example.

Original languageEnglish
Title of host publicationI2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings
Place of PublicationDubrovnik
ISBN (Electronic)9781728144603
DOIs
Publication statusPublished - 30 Jun 2020
Event2020 IEEE International Instrumentation and Measurement Technology Conference: IEEE I2MTC 2020 - Virtuell, Dubrovnik, Croatia
Duration: 25 May 202028 May 2020
https://i2mtc2020.ieee-ims.org/

Conference

Conference2020 IEEE International Instrumentation and Measurement Technology Conference
Abbreviated titleIEEE I2MTC 2020
CountryCroatia
CityVirtuell, Dubrovnik
Period25/05/2028/05/20
Internet address

Keywords

  • Filter design
  • Signal denoising
  • Wiener filtering

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Instrumentation

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